How to normalize benchmark results to obtain distribution of ratios correctly?

I found it puzzling that you got such a minimal response on "Cross Validated". This does not seem like a specific R question, but rather a request for how to design an analysis. Perhaps the audience there thought you were asking too broad a question, but if that is the case then the R forum is even worse, since we generally tackle problems where data is actually provided.

We deal with the requests for implementation construction in our language. I agree that violin plots are preferred to boxplots for the examination of distributions (when there is sufficient data and I am not sure that 100 samples per group makes the grade in that instance), but in any case that means the "R answer" is that you just need to refer to the proper R help page.

I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.